{"id":"https://openalex.org/W2017225228","doi":"https://doi.org/10.1109/itsc.2011.6083050","title":"Optimal decomposition of travel times measured by probe vehicles using a statistical traffic flow model","display_name":"Optimal decomposition of travel times measured by probe vehicles using a statistical traffic flow model","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2017225228","doi":"https://doi.org/10.1109/itsc.2011.6083050","mag":"2017225228"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2011.6083050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6083050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014473141","display_name":"Aude Hofleitner","orcid":"https://orcid.org/0009-0002-6492-2488"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Hofleitner","raw_affiliation_strings":["Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA","Electrical Engineering and Computer Science, UC Berkeley, CA and UPE/IFSTTAR/GRETTIA, France"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Electrical Engineering and Computer Science, UC Berkeley, CA and UPE/IFSTTAR/GRETTIA, France","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021116704","display_name":"Alexandre M. Bayen","orcid":"https://orcid.org/0000-0002-6697-222X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Bayen","raw_affiliation_strings":["Electrical Engineering and Computer Science, Civil and Environmental Engineering, University of California, Berkeley, CA, USA","Electrical Engineering and Computer Sciences, Civil and Environmental Engineering, UC Berkeley"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Civil and Environmental Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Electrical Engineering and Computer Sciences, Civil and Environmental Engineering, UC Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014473141"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":9.135,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.97626127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.6549772620201111},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5653073787689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5516270399093628},{"id":"https://openalex.org/keywords/microscopic-traffic-flow-model","display_name":"Microscopic traffic flow model","score":0.5291510224342346},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5204603672027588},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5154691338539124},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5072442889213562},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4553665220737457},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.45286059379577637},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4349822700023651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3341712951660156},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.3181747496128082},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28820136189460754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22376346588134766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.222722589969635},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.219315767288208},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1834765374660492},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1407184600830078}],"concepts":[{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.6549772620201111},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5653073787689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516270399093628},{"id":"https://openalex.org/C205269179","wikidata":"https://www.wikidata.org/wiki/Q17144160","display_name":"Microscopic traffic flow model","level":3,"score":0.5291510224342346},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5204603672027588},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5154691338539124},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5072442889213562},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4553665220737457},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.45286059379577637},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4349822700023651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3341712951660156},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.3181747496128082},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28820136189460754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22376346588134766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.222722589969635},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.219315767288208},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1834765374660492},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1407184600830078},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2011.6083050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6083050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W138497752","https://openalex.org/W190086823","https://openalex.org/W811954167","https://openalex.org/W1499399028","https://openalex.org/W1563231564","https://openalex.org/W1977816751","https://openalex.org/W1996573126","https://openalex.org/W2031346385","https://openalex.org/W2031530760","https://openalex.org/W2037141248","https://openalex.org/W2055264660","https://openalex.org/W2082492304","https://openalex.org/W2087846639","https://openalex.org/W2093921901","https://openalex.org/W2095797625","https://openalex.org/W2109882723","https://openalex.org/W2115425194","https://openalex.org/W2134460702","https://openalex.org/W2152937223","https://openalex.org/W2153811040","https://openalex.org/W2155698771","https://openalex.org/W2164958491","https://openalex.org/W2296319761","https://openalex.org/W4250589301","https://openalex.org/W6605711098","https://openalex.org/W6629980672","https://openalex.org/W6658311177","https://openalex.org/W6683009792","https://openalex.org/W6809323606"],"related_works":["https://openalex.org/W1906120563","https://openalex.org/W2149721642","https://openalex.org/W4376632305","https://openalex.org/W2587362999","https://openalex.org/W2368210942","https://openalex.org/W2052374615","https://openalex.org/W2375885262","https://openalex.org/W2047739511","https://openalex.org/W2006774716","https://openalex.org/W2379151535"],"abstract_inverted_index":{"Sparse":[0],"location":[1],"measurements":[2],"of":[3,22,33,46,60,64,78,86,96,103],"probe":[4,65],"vehicles":[5,26,41,66],"are":[6,27,94],"a":[7,76],"promising":[8],"data":[9,23,117],"source":[10,21],"for":[11,71],"arterial":[12,79],"traffic":[13,80],"monitoring.":[14],"One":[15],"common":[16],"challenge":[17],"in":[18],"processing":[19],"this":[20,53],"is":[24],"that":[25,39,91],"sampled":[28],"infrequently":[29],"(on":[30],"the":[31,47,104,119],"order":[32],"once":[34],"per":[35],"minute),":[36],"which":[37],"means":[38],"many":[40],"will":[42],"travel":[43,62,69,87,105],"several":[44],"links":[45],"network":[48],"between":[49],"consecutive":[50],"measurements.":[51],"In":[52],"article,":[54],"we":[55,82],"propose":[56],"an":[57],"optimal":[58],"decomposition":[59],"path":[61],"times":[63,70],"to":[67],"link":[68,73],"each":[72],"traversed.":[74],"From":[75],"model":[77],"dynamics,":[81],"derive":[83,100],"probability":[84],"distributions":[85,93,98],"times.":[88],"We":[89,109],"prove":[90],"these":[92],"mixtures":[95],"log-concave":[97],"and":[99],"convex":[101],"formulations":[102],"time":[106],"allocation":[107],"problem.":[108],"validate":[110],"our":[111],"approach":[112],"using":[113],"detailed":[114],"video":[115],"camera":[116],"from":[118],"Next":[120],"Generation":[121],"Simulation":[122],"project":[123],"(NGSIM).":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}